An inexact quasi-Newton algorithm for large-scale ℓ1 optimization with box constraints
In this paper, we develop an inexact quasi-Newton algorithm for ℓ1-regularization optimization problems subject to box constraints. The algorithm uses the identification technique of the proximal gradient algorithm to estimate the active set and free variables. To accelerate the convergence, we util...
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| Published in: | Applied numerical mathematics Vol. 193; pp. 179 - 195 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier B.V
01.11.2023
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| Subjects: | |
| ISSN: | 0168-9274, 1873-5460 |
| Online Access: | Get full text |
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